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[Impacts of Changes in Meteorological Conditions During COVID-19 Lockdown on PM2.5 Concentrations over the Jing-Jin-Ji Region].
Qiu, Yu-Lu; Chen, Lei; Zhu, Jia; Ma, Zhi-Qiang; Li, Zi-Ming; Guo, Heng; Tang, Ying-Xiao.
  • Qiu YL; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, Beijing 100089, China.
  • Chen L; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044
  • Zhu J; Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China.
  • Ma ZQ; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044
  • Li ZM; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044
  • Guo H; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, Beijing 100089, China.
  • Tang YX; Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China.
Huan Jing Ke Xue ; 43(6): 2831-2839, 2022 Jun 08.
Article in Chinese | MEDLINE | ID: covidwho-1876197
ABSTRACT
The Chinese government triggered the immediate implementation of a lockdown policy in China following the outbreak of the COVID-19 pandemic, leading to drastic decreases in air pollutant emissions. However, concentrations of PM2.5 and other pollutants increased during the COVID-19 lockdown over the Jing-Jin-Ji region compared with those averaged over 2015-2019, and two PM2.5 pollution events occurred during the lockdown. Using the ERA5 reanalysis data, we found that the Jing-Jin-Ji region during the COVID-19 lockdown was characterized by higher relative humidity, lower planetary boundary layer height, and anomalous updraft. These conditions were favorable for condensation and the secondary formation of aerosols and prevented turbulent diffusion of pollutants. Furthermore, we conducted sensitivity tests using the WRF-Chem model and found that ρ(PM2.5) increased by 20-55 µg·m-3(60%-170%) over the middle region of Jing-Jin-Ji during the COVID-19 lockdown due to changes in meteorological conditions. Furthermore, the enhanced aerosol chemistry and unfavorable diffusion conditions were identified as the key factors driving increases in PM2.5 concentrations during the lockdown. Planetary boundary layer height and relative humidity may become the important factors in forecasting PM2.5 pollution events over the Jing-Jin-Ji region under the background of emission reduction.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Asia Language: Chinese Journal: Huan Jing Ke Xue Year: 2022 Document Type: Article Affiliation country: J.hjkx.202109233

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Asia Language: Chinese Journal: Huan Jing Ke Xue Year: 2022 Document Type: Article Affiliation country: J.hjkx.202109233